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    KDD
    1998
    ACM
    212views Data Mining» more  KDD 1998»
    Learning to Predict Rare Events in Event Sequences
    13 years 10 months ago
    Learning to Predict Rare Events in Event Sequences
    Download  storm.cis.fordham.edu
    Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
    Gary M. Weiss, Haym Hirsh
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    13 years 5 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    Download  journal.imbio.de
    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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    ICML
    2006
    IEEE
    148views Machine Learning» more  ICML 2006»
    Bayesian pattern ranking for move prediction in the game of Go
    14 years 6 months ago
    Bayesian pattern ranking for move prediction in the game of Go
    Download  research.microsoft.com
    We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
    David H. Stern, Ralf Herbrich, Thore Graepel
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    BMCBI
    2010
    115views more  BMCBI 2010»
    Machine learning methods for metabolic pathway prediction
    13 years 5 months ago
    Machine learning methods for metabolic pathway prediction
    Download  www.biomedcentral.com
    Background: A key challenge in systems biology is the reconstruction of an organism's metabolic network from its genome sequence. One strategy for addressing this problem is ...
    Joseph M. Dale, Liviu Popescu, Peter D. Karp
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    ISMB
    1993
    116views Computational Biology» more  ISMB 1993»
    Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
    13 years 7 months ago
    Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
    Download  www.aaai.org
    Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
    Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
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